S3-Documentation-MCP-Server
S3-Documentation-MCP-Server is an MCP server, listed under model apis. It reaches openai and s3. It needs MCP_API_KEY, OPENAI_API_KEY and S3_SECRET_ACCESS_KEY to authenticate. Its repository has 8 GitHub stars and is licensed under MIT; we last read it on 2026-10-25.
This server implements the Model Context Protocol (MCP) to add Retrieval-Augmented Generation (RAG) capabilities to language models using Markdown documentation stored on Amazon S3.
Install
Read from S3-Documentation-MCP-Server’s own README, close to verbatim -- not written by us, and not guessed.
docker run -d --name s3-doc-mcp -p 3000:3000 --env-file .env -e OLLAMA_BASE_URL=http://host.docker.internal:11434 -v $(pwd)/data:/app/data yoanbernabeu/s3-doc-mcp:latest
What it reaches, and what it needs
Maintenance
A lightweight Model Context Protocol (MCP) server that brings RAG (Retrieval-Augmented Generation) capabilities to your LLM over Markdown documentation stored on S3.
S3-Documentation-MCP-Server compared with similar servers
| Server | Reaches | Needs | Stars | Last update | Licence |
|---|---|---|---|---|---|
| S3-Documentation-MCP-Server (this page) | openai, s3 | MCP_API_KEY, OPENAI_API_KEY, S3_SECRET_ACCESS_KEY | 8 | 2026-03-12 | MIT |
| paperbanana | atlascloud, google, openai(1 shared) | ATLASCLOUD_API_KEY, GOOGLE_API_KEY, OPENAI_API_KEY | 2,412 | 2026-09-17 | MIT |
| ms-365-mcp-server | ms365, openai(1 shared) | MS365_MCP_ATTACHMENT_URL_KEY, MS365_MCP_CLIENT_SECRET, MS365_MCP_OAUTH_TOKEN, OPENAI_API_KEY | 1,068 | 2026-10-23 | MIT |
| just-prompt | anthropic, deepseek, gemini, groq, openai(1 shared) | ANTHROPIC_API_KEY, DEEPSEEK_API_KEY, GEMINI_API_KEY, GROQ_API_KEY, OPENAI_API_KEY | 739 | 2025-08-10 | — |
| flama | anthropic, openai(1 shared) | None listed | 304 | 2026-10-13 | Apache-2.0 |
| mcp-ragdocs | openai, qdrant(1 shared) | OPENAI_API_KEY, QDRANT_API_KEY | 265 | 2025-07-18 | MIT |
Ranked by services in common with S3-Documentation-MCP-Server, then by stars. Figures are from each repository when we last read it.
Common questions about S3-Documentation-MCP-Server
- What does S3-Documentation-MCP-Server do?
- This server implements the Model Context Protocol (MCP) to add Retrieval-Augmented Generation (RAG) capabilities to language models using Markdown documentation stored on Amazon S3.
- How do I install S3-Documentation-MCP-Server?
- Its own README gives this command: docker run -d --name s3-doc-mcp -p 3000:3000 --env-file .env -e OLLAMA_BASE_URL=http://host.docker.internal:11434 -v $(pwd)/data:/app/data yoanbernabeu/s3-doc-mcp:latest. Run it where your MCP client can launch the server, and check the README for any settings it asks for.
- What does S3-Documentation-MCP-Server connect to, and what does it need?
- It reaches openai and s3. The credentials we found in its source are MCP_API_KEY, OPENAI_API_KEY and S3_SECRET_ACCESS_KEY.
- Is S3-Documentation-MCP-Server official and is it maintained?
- We found nothing naming it as a vendor’s official server. Its repository has 8 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-03-12.
- What licence does S3-Documentation-MCP-Server use?
- The repository declares the MIT licence.
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